| W06-0122 | rithm . Memory Based learner The | memory-based learning method | memorizes all examples in a training |
| P98-1010 | . This paper presents a novel | memory-based learning method | that recognizes shallow patterns |
| W00-1309 | and Veenstra ( 1999 ) explored | memory-based learning method | to fmd labelled chunks . Ratnaparkhi |
| P00-1007 | Discussion We have presented a | memory-based learning method | for partial parsing which can |
| S07-1076 | , we relied on kNN . This is a | memory-based learning method | where the neigh - bours are the |
| W04-2414 | three extensions of the basic | memory-based learning method | : class n-grams , i.e. complex |
| W02-1818 | presents a hybrid model to combine | Memory-Based Learning method | and disambiguation proposal based |
| S07-1074 | 3.1 k-Nearest Neighbor k-NN is a | memory-based learning method | , where the neighbors are the |
| W15-5315 | limited training data , e.g. , the | Memory-Based Learning method | applied on 145 authors outperformed |
| W05-0406 | and it can be difficult for the | memory-based learning method | to be very successful . 7 Conclusion |
| P00-1012 | adjective bigram method and the | memory-based learning method | reduce this dependency on pairs |
| W01-0712 | results mentioned in this paper . | Memory-based learning methods | store all training data and classify |
